Natural Product: NPC205467

Natural Product IDNPC205467
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
ALEUBOFIDHNMTA-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 14237668
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002506] Isoflavonoids
        • [CHEMONTID:0001612] Isoflavans
          • [CHEMONTID:0001827] Isoflavanones
            • [CHEMONTID:0003526] 6-prenylated isoflavanones

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

  Chemical Representations

Standard InCHIKey ALEUBOFIDHNMTA-UHFFFAOYSA-N
Standard InCHI InChI=1S/C25H26O6/c1-13(2)5-6-16-9-15(7-8-19(16)26)18-12-31-22-11-21(28)17(10-20(27)14(3)4)24(29)23(22)25(18)30/h5,7-9,11-12,20,26-29H,3,6,10H2,1-2,4H3
SMILES CC(=CCc1cc(ccc1O)c1coc2cc(c(CC(C(=C)C)O)c(c2c1=O)O)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   422.17 Volume:   441.663
?
Van der Waals volume.
Dense:   0.956 LogP:   3.927
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.052
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.537
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   20.0
TPSA:   111.13
?
Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   4.0 Rings:   3.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.433 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.573 Fsp3:   0.24
MCE-18:   44.0
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.802 Fluc inhibitor:   0.311
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.944
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.483
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.184 Promiscuous compounds:   0.094

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.014 MDCK Permeability:   -4.63
Pgp-inhibitor:   0.001 Pgp-substrate:   0.019
PAMPA:   0.968
?
The experimental data for Peff was logarithmically transformed (logPeff). Molecules with log Peff values below 2.0 were classified as low-permeability (Category 0), while those with log Peff values exceeding 2.5 were classified as high-permeability (Category 1).
Human Intestinal Absorption (HIA):   0.131
20% Bioavailability (F20%):   0.988 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.801
Plasma Protein Binding (PPB):   94.517% Volume Distribution (VD):   0.416
Fu: 5.634%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.344
OATP1B3 inhibitor:   0.971 BCRP inhibitor:   0.929
BSEP inhibitor:   0.292

ADMET: Metabolism

CYP1A2-inhibitor:   0.295 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.346 CYP2C19-substrate:   0.889
CYP2C9-inhibitor:   0.279 CYP2C9-substrate:   0.024
CYP2D6-inhibitor:   0.711 CYP2D6-substrate:   0.207
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   1.0
?
Human liver microsomal (HLM) stability. Category 0: stable+ (HLM > 30 min); Category 1: unstable- (HLM ≤ 30 min). The output value is the probability of human liver microsomal instability, where a value closer to 1 indicates a higher likelihood of instability.

ADMET: Excretion

Clearance (CL):  8.89 Half-life (T1/2):  1.099

ADMET: Toxicity

hERG Blockers:  0.06 hERG Blockers (10um):  0.542
Human Hepatotoxicity (H-HT):  0.578 Drug-induced Liver Injury (DILI):  0.485
AMES Toxicity:  0.492 Rat Oral Acute Toxicity:  0.671
Maximum Recommended Daily Dose:  0.812 Skin Sensitization:  0.812
Carcinogencity:  0.546 Eye Corrosion:  0.0
Eye Irritation:  0.816 Respiratory Toxicity:  0.917
Drug-induced Neurotoxicity:  0.344 Ototoxicity:  0.708
Hematotoxicity:  0.116 Drug-induced Nephrotoxicity:  0.453
Genotoxicity:  0.932 RPMI-8226 Immunitoxicity:  0.095
A549 Cytotoxicity:  0.233 Hek293 Cytotoxicity:  0.378
BCF:   1.719
?
Bioconcentration factors are used for considering secondary poisoning potential and assessing risks to human health via the food chain. The unit is -log10[(mg/L)/(1000*MW)].
IGC50:   4.676
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.106
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.574
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96 hour fathead minnow LC50. The unit of LC50FM is -log10[(mg/L)/(1000*MW)].

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO27553 Derris scandens Species Fabaceae Eukaryota n.a. stem n.a. DOI[10.1016/S0031-9422(99)00103-X]
NPO27553 Derris scandens Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[19969457]
NPO27553 Derris scandens Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[21314138]
NPO27553 Derris scandens Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27553 Derris scandens Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO27553 Derris scandens Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO27553 Derris scandens Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]

Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
UNPD: Universal Natural Products Database [PMID: 23638153].
StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
MetaboLights: a metabolomics database [PMID: 27010336].
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



  NP Quantity Composition/Concentration

Organism ID Organism Name Organism Material Preparation Organism Part NP Quantity (Standard) NP Quantity (Minimum) NP Quantity (Maximum) Quantity Unit Reference

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



 Biological Activity

Molecular-level activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference





 Experimental ADME

Experiment Model Experiment Tissue ADME Type ADME Relation ADME Value ADME Unit Reference





 Experimental Toxicity

Quantitative toxicity

Experiment Model Experiment Organism Toxicity Type Toxicity Relation Toxicity Value Toxicity Unit Reference

Common Abbreviations:
LC: Lethal Concentration; LD: Lethal Dose; LT:Lethal Time; NOAEL: No-observed-adverse-effect Level; BMDL: Benchmark Dose Lower Confidence Limit; BMD: Benchmark Dose; BMC:Benchmark Concentration; LOAEL: Lowest Observed Adverse Effect Level; RfD:Reference Dose; RfC:Reference Concentration; MRL: Minimal Risk Level; MEG: Maximum Exposure Guideline; PAC: Protective Action Criteria

Categorical toxicity labels

Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption
Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP toxicity records from domain-specific databases. These databases include:
ToxValDB: a curated database that compiles quantitative toxicity values for chemicals from diverse public sources to support toxicological research and risk assessment.
TOXRIC: a comprehensive, free-to-access, online database providing toxicological/feature data. The toxicity labels are retrieved from this database. [PMID: 36400569]


  Chemically structural similarity

Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes approximately 50,000 NPs with experimentally-derived bioactivity available in NPASS)

Similarity is measured using the Tanimoto coefficient (Tc) , which compares the binary fingerprints of two molecules. Tc is calculated as the intersection divided by the union of '1' bits in the fingerprints, ranging from 0 to 1, with 1 indicating highest similarity.

●  The left chart: Distribution of similarity level between NPC205467 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.5 or Top200).

Similarity Score Similarity Level Natural Product ID
0.8308 Intermediate Similarity NPC48624
0.7143 Intermediate Similarity NPC475705
0.7101 Intermediate Similarity NPC213659
0.7101 Intermediate Similarity NPC326109
0.6712 Remote Similarity NPC476178
0.6667 Remote Similarity NPC259166
0.662 Remote Similarity NPC203077
0.6571 Remote Similarity NPC20472
0.625 Remote Similarity NPC51070
0.6164 Remote Similarity NPC215311
0.6111 Remote Similarity NPC55832
0.6081 Remote Similarity NPC80962
0.5974 Remote Similarity NPC117836
0.5897 Remote Similarity NPC323626
0.5867 Remote Similarity NPC40942
0.5769 Remote Similarity NPC51887
0.5733 Remote Similarity NPC268204
0.5698 Remote Similarity NPC324447
0.5696 Remote Similarity NPC324233
0.56 Remote Similarity NPC482730
0.5595 Remote Similarity NPC302762
0.5526 Remote Similarity NPC172250
0.5395 Remote Similarity NPC238279
0.5325 Remote Similarity NPC232947
0.5301 Remote Similarity NPC123653
0.5294 Remote Similarity NPC278968
0.5128 Remote Similarity NPC59210
0.5128 Remote Similarity NPC270708
0.5125 Remote Similarity NPC134287
0.5063 Remote Similarity NPC219917

Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC205467 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
NPD

Bioactivity similarity

  Bioactivity similarity

Similar Natural Products in NPASS

Similarity level is defined by Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
A: chemistry similarity;
B: biological targets similarity;
C: networks similarity;
D: cell-based bioactivity similarity;
E: similarity based on clinical data.
Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity
B: biological targets similarity
C: networks similarity
D: cell-based bioactivity similarity
E: similarity based on clinical data